Research Reports

Permanent URI for this collectionhttp://dl.cerist.dz/handle/CERIST/34

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Subject: search.filters.subject.Digitalization

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    The Future of BPM in the era of industry 4.0 : exploring new opportunities for innovation
    (CERIST, 2025-02) Khider, Hadjer; Meziane, Abdelkrim; Hammoudi, Slimane
    In today's digital age, the fourth industrial revolution has given rise to Industry 4.0. This new paradigm has brought new challenges for organizations, through a digital transformation. This digital transformation has profoundly impacted the way businesses operate, leading to a fundamental shift in the Business Process Management (BPM), affecting business models, processes, products, relationships and competencies. This transformation is based on the use of cyber-physical systems and information and communication technologies, in particular artificial intelligence and the Internet of Things. This paper aims to identify and define the main challenges, limitations, and opportunities of BPM in the era of Industry 4.0. Furthermore, it aims to identify potential future research directions. in addition to analyzing the impact of Industry 4.0 concepts and related technologies on the management of organizations and their business processes.
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    Toward an Approach for Job Recommender System: Leveraging Hybrid Techniques
    (CERIST, 2024-11) Khider, Hadjer; Meziane, Abdelkrim; Hammoudi, Slimane
    The rapid evolution of the job market, driven by digitalization and changing business environment dynamics, requires the development of sufficient job recommender systems. A significant number of challenges are facing those job seekers on LinkedIn professional social network. These LinkedIn users are seeking job-maker proposals that align with their business needs. Supporting these job seekers is a real challenge. In order to address this deficiency, we propose a methodology for job recommender systems on the professional social network LinkedIn, based on the user profiles on that platform. This paper presents a user-centric design approach and recommendation process for jobs based on the social profile of the LinkedIn users. The proposed approach to job recommendation combines hybrid techniques, integrating collaborative filtering, content-based filtering, context aware recommendation. In this paper, we introduce a user-centric and interactive framework that enables job seekers to interact with our Job Recommender System to provide the most relevant and valuable recommendations. The proposed framework is designed to addressing common challenges in the field; this approach aims to enhance recommendation accuracy and user satisfaction.
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    Resource allocation approaches for business processes in the era of digitalization: A Survey
    (CERIST, 2024-06) Khider, Hadjer
    Resource allocation is a critical component of business process management (BPM) that directly impacts the efficiency and effectiveness of organizational operations. It involves the strategic assignment of resources, including personnel, equipment, and materials, to various activities and tasks within a business process. Effective resource allocation is imperative for inhancing productivity, minimizing costs, and ensuring seamless process execution. This paper presents a review of existing research on resource allocation for business processes associated in the context of digitalization, identifying different approaches of resource allocation for business processes in the era of digitalization.